Zero-Trust AI Security & Runtime DLP Gateway
Assume every agent prompt and tool execution is potentially untrusted. We deploy sub-millisecond in-band proxies that redact customer PII, strip live API credentials, and block destructive shell commands before data leaves your network.
Neon Innovation Lab Zero-Trust AI Security is a defensive runtime architecture that enforces continuous verification, least-privilege scoping, and in-band Data Loss Prevention (DLP) across enterprise AI agents and developer workstations. It guarantees that proprietary source code, secrets, and regulatory customer records are never exposed to external LLMs.
Architectural Specifications & Systems
Deterministic execution patterns, verified protocol compliance, and security controls built for production environments.
In-Band Secret & Token Redaction
Intercepts tool outputs and developer prompts in real time, pattern-matching against 80+ credential formats to replace sensitive tokens with safe dummy placeholders.
// Example Gateway redaction output:
"aws_secret": "[REDACTED_AWS_KEY:SHA256:7f8a92...]"
"customer_ssn": "[REDACTED_PII:SSN]"- Deterministic redaction of AWS, Azure, GCP, Stripe, and OpenAI tokens
- Custom regex support for proprietary enterprise internal keys
- Preserves syntax and JSON structure so model reasoning remains unaffected
Destructive Command & Query Circuit Breaker
Analyzes shell commands and SQL statements generated by AI assistants, automatically halting destructive operations before execution.
- Blocks DROP TABLE, TRUNCATE, and unqualified DELETE statements
- Halts dangerous shell invocations (rm -rf, dd, format, sudo overrides)
- Configurable human-in-the-loop authorization thresholds
Customer PII Redaction Engine
Identifies and scrubs Personally Identifiable Information (names, phone numbers, email addresses, credit cards) to satisfy GDPR and CCPA regulations.
- High-speed string tokenizers operating entirely in memory
- Reversible pseudonymization maps kept safely on local premises
- Compliance-ready audit log generation for data protection officers
Per-Request Authorization Scoping
Eliminate blanket API grants by enforcing dynamic, contextual permissions on every individual tool invocation based on user role and project boundary.
- Scoped bearer token issuance with tight expiration windows
- Cryptographic signature verification on agent actions
- Zero persistence of elevated privileges across sessions
Local Ephemeral Execution Boundaries
Run sensitive data transformation tools inside isolated lightweight containers with strict network egress filtering.
- Blocks rogue outbound HTTP/DNS beaconing from tool runtimes
- Ephemeral container instances destroyed after workflow termination
- Filesystem mounts restricted strictly to current workspace folder
Enterprise SIEM Integration & Audit Trails
Export structured, tamper-evident security telemetry directly to corporate monitoring platforms for real-time threat detection.
- Splunk, Datadog, and AWS CloudWatch native log forwarders
- Cryptographically hashed event streams for forensic auditing
- Automated alert triggering on repeat DLP redaction attempts
Neon Innovation Lab Zero-Trust AI vs. Traditional Perimeter Security
Direct side-by-side evaluation against typical industry implementations.
| Security Dimension | Traditional Perimeter Model | Neon Innovation Lab Zero-Trust AI |
|---|---|---|
| Trust Assumption | Assumes internal developers and connected AI tools are safe once logged in | Never trust, always verify: every single prompt, tool input, and tool response is inspected |
| API Key Exposure | Developer environment variables frequently leaked into prompt histories | Sub-1.2ms DLP proxy scrubs all live credentials before data exits the machine |
| Destructive Query Risk | AI assistants can run destructive database commands if granted write access | Structural AST circuit breaker automatically blocks destructive SQL and terminal commands |
| Regulatory Compliance | High risk of GDPR / CCPA non-compliance due to unmonitored customer PII in prompts | Full GDPR Article 5 compliance with automated PII tokenization and local pseudonym maps |
| Latency Impact | Heavy cloud security proxies adding 300ms to 800ms of lag per prompt | Optimized local-first proxy architecture executing in under 1.2ms without noticeable delay |
Four-Stage Engineering Pipeline
Every technical engagement follows rigorous architecture, sandboxed validation, and production rollout criteria.
Data Flow Mapping
Inventory all AI clients, IDE extensions, API keys, and database connections in active developer use.
Gateway Deployment
Deploy the Neon Zero-Trust Gateway locally across developer machines or as a centralized cluster proxy.
Policy Customization
Fine-tune internal regex patterns, destructive query rules, and human-in-the-loop approval thresholds.
SIEM & SOC Integration
Route structured audit logs into enterprise security operations centers and train teams on incident handling.
Frequently Addressed Questions
Concrete answers covering architecture, integration protocols, security, and SLAs.
What makes Zero-Trust AI security different from standard network firewalls?+
Standard network firewalls inspect network packets, IP addresses, and ports, but have zero semantic understanding of LLM prompts or Model Context Protocol tool calls. A Zero-Trust AI Gateway understands JSON-RPC payloads, AST syntax, and natural language prompts, allowing it to redact secrets, intercept dangerous SQL statements, and verify agent identities dynamically.
Does the Zero-Trust Gateway slow down developer productivity in Cursor or Claude?+
No. The Neon Zero-Trust Gateway is engineered in lightweight TypeScript and optimized C runtimes, executing full token inspection and PII redaction in under 1.2 milliseconds. Developers experience instant responses with zero workflow interruption.
How does the gateway handle company-specific internal API keys?+
In addition to our built-in detection library of 80+ standard credential formats (AWS, OpenAI, Stripe, GitHub, Slack), you can supply custom regex patterns and entropy rules to detect proprietary enterprise keys and internal authentication tokens.
Can the gateway be configured to require human approval for high-risk actions?+
Yes. You can establish configurable safety policies where read operations execute autonomously, but write operations or high-risk actions (such as git pushes or database migrations) prompt the developer for explicit confirmation.
Ready to Deploy Production Architecture?
Connect with our principal engineering team in Dubai to discuss technical requirements, security boundaries, and delivery schedules.